Jump to content

Talk:Behavior-based robotics

Page contents not supported in other languages.
From Wikipedia, the free encyclopedia
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.

Wiki Education Foundation-supported course assignment

This article is or was the subject of a Wiki Education Foundation-supported course assignment. Further details are available on the course page. Student editor(s): Zkor. Peer reviewers: Erikjerez, Nitwitgoober, Fahimala.

Above undated message substituted from Template:Dashboard.wikiedu.org assignment by PrimeBOT (talk) 15:31, 16 January 2022 (UTC)[reply]

Untitled

The first paragraph is not currently technically correct in saying that behavior-based robotics does not employ an "internal model of the environment". This is only a property of strictly reactive behavior-based systems. Cf. "Integration of representation into goal-driven behavior-based robotics" (Mataric 1992) and "Situated robotics" (Mataric 2002). --LarsCremean 18:01, 30 April 2006 (UTC)[reply]

I agree --Jiuguang (talk) 13:29, 9 July 2008 (UTC)[reply]

Broken links:

Plan to expand upon principal section and possibly add features section using information from [1] below is what i plan to add.

Principles

Behavior-based robotics sets itself apart from traditional artificial intelligence by using biological systems as a model. Classic artificial intelligence typically uses a set of steps to solve problems, it follows a path based on internal representations of events compared to the behavior-based approach. Rather then use preset calculations to tackle a situation, behavior-based robotics relies on adaptability. This advancement has allowed behavior based robotics to become commonplace in researching and data gathering.

Features

Most behavior-based robots are programmed with a basic set of features to start them off. They are given a behavioral repertoire to work with dictating what behaviors to use and when, obstacle avoidance and battery charging can provide a foundation to help the robots learn and succeed. Rather than build world models, behavior-based robots simply react to their environment and problems within.

Zkor (talk) 04:46, 23 June 2017 (UTC)Zach[reply]

My apologies, I'm not sure how to make the correct edit, but the "chapter 3" reference is from: Autonomous Agents, Krister Wolff, Chalmers University of Technology, Göteborg, Sweden, https://www.am.chalmers.se/~wolff/AA/

References

  1. ^ http://www.am.chalmers.se/~wolff/AA/Chapter3.pdf. {{cite web}}: Missing or empty |title= (help)